AI Article Synopsis

  • Immunotherapy that uses the body's immune system is becoming popular in treating blood cancers like mantle cell lymphoma (MCL), but there's little understanding of immune cell behavior in MCL patients' lymph nodes and bone marrow.
  • The study utilized a technique called RT-MLPA to analyze gene expression in MCL patients at diagnosis and relapse, focusing on immune-related genes to gain insights into tumor aggressiveness and immune response.
  • Results showed that aggressive MCL forms had increased macrophage-related gene expression but lower T-cell markers, which could help differentiate between patient groups and guide personalized treatment approaches.

Article Abstract

Immunotherapy strategies relying on innate or adaptive immune components are increasingly used in onco-haematology. However, little is known about the infiltrated lymph nodes (LN) or bone marrow (BM) landscape of mantle cell lymphoma (MCL). The original transcriptomic approach of reverse transcriptase multiplex ligation-dependent probe amplification (RT-MLPA) was applied here to explore the expression of 24 genes of interest in MCL at diagnosis (21 LN and 15 BM) or relapse (18 LN). This allowed us to identify that at baseline, samples from MCL patients with an aggressive morphology (i.e. blastoid or pleomorphic) or a high proliferative profile, displayed significantly higher monocyte/macrophage-associated transcripts ( and in LN and BM. Regarding T-cells, aggressive MCL forms had significantly lower amounts of LN transcripts, yet an increased expression of cytotoxic markers in LN () and BM (). A very high-risk group with early treatment resistance displayed, at diagnosis, high proliferation () and high macrophages and cytotoxic transcript levels. Post-immunochemotherapy relapsed samples revealed lower levels of T- and natural killer-cells markers, while monocyte/macrophage markers remained similar to diagnosis. This study suggests that rapid analysis of MCL microenvironment transcriptome signatures by RT-MLPA could allow for an early distinction of patient subgroups candidates for adapted treatment strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713019PMC
http://dx.doi.org/10.1002/jha2.549DOI Listing

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